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www.dspguide.com
"The world of science and engineering is filled with signals: images from remote space probes, voltages generated by the heart and brain, radar and sonar echoes, seismic vibrations, and countless other applications. Digital Signal Processing is the science of using computers to understand these types of data....
Steve Smith
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11
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www.heatonresearch.com
This book covers several topics such as: overview of neural networks, matrix operations in Java, Hopfield Neural Network, machine learning, feedforward backpropagation, Simulated annealing, temporal neural networks, self organizing maps....
Jeff Heaton
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6
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www.inference.phy.cam.ac.uk
This book is aimed at senior undergraduates and graduate students in Engineering, Science, Mathematics, and Computing. It expects familiarity with calculus, probability theory, and linear algebra as taught in a 1st- or second-year undergraduate course on mathematics for scientists and engineers....
David J. C. MacKay
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3
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www.inf.fu-berlin.de
This book covers the following topics: The biological paradigm, Threshold logic, Weighted Networks, The Perceptron, Perceptron learning, Unsupervised learning and clustering algorithms, One and two layered networks, The back-propagation algorithm, Fast learning algorithms, Statistics and Neural Networks, The complexity of learning, Fuzzy Logic, Associative Networks, The Hopfield Model, Stochastic ...
Raul Rojas
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5
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